["Autism Research, EarlyView. ", "\nABSTRACT\nThe heterogeneity in both the neurobiological mechanisms and the phenotypic presentations of autism spectrum disorder (ASD) poses a major challenge to clinical and translational research. Alterations in functional connectivity (FC) have been associated with ASD, yet it remains unclear whether and how divergent brain network properties may account for individual differences across ASD‐related symptomatology and behaviors. We applied source‐level reconstruction to rest‐like non‐task‐related high‐density EEG data in a cohort of 104 young children (38 with ASD) to identify global and local alterations of cortical network connectivity. We subsequently used regularized canonical correlation analysis (rCCA) to characterize specific FC patterns linked to variation in cognitive, social and sensory dimensions derived from standard clinical instruments. We found increased low‐frequency FC in frontotemporal cross‐hemispheric networks and lateral‐occipital regions of young ASD children versus healthy peers. RCCA revealed three distinct FC patterns in recurrent ASD‐related networks, each contributing to predict individual differences in cognitive, social and sensory features. These linked FC‐behavior dimensions may shed light on atypical brain network topology associated with specific phenotypic manifestations of ASD, which might implicate unique underlying neurobiological mechanisms.\n"]